Triple
T23526796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaisesika Sutra |
E576454
|
entity |
| Predicate | epistemicSources |
P143137
|
FINISHED |
| Object | perception (pratyaksha) |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: perception (pratyaksha) | Statement: [Vaisesika Sutra, epistemicSources, perception (pratyaksha)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: epistemicSources Context triple: [Vaisesika Sutra, epistemicSources, perception (pratyaksha)]
-
A.
epistemicBasis
chosen
Indicates the justificatory relationship by which one piece of information, belief, or evidence serves as the basis for holding another belief or knowledge claim.
-
B.
primarySources
Indicates that one entity serves as an original, authoritative source of information or evidence for another entity.
-
C.
primarySourcesDiscussed
Indicates that the primary source materials are examined, analyzed, or discussed in relation to the subject.
-
D.
editorialSource
Indicates that one entity serves as the editorial origin, provider, or authority for the content or information associated with another entity.
-
E.
evidenceCited
Indicates that one entity is used as supporting evidence or citation for the claims or content of another entity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ac74be1881909161b94aa611188a |
completed | April 29, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:09 p.m.